Apply on Employer Site

PwC · 1 month ago

Cloud Data & Analytics Implementation Senior Associate (Insurance)

TX-Houston

Full-time

Onsite

Mid, Senior Level

$77K/yr - $202K/yr

PwC is a leading professional services firm that provides Data and Analytics services to help organizations drive business results using smarter data analytics. In this role, you will assist clients in aligning their data strategies with their business needs and migrating them to a modern cloud data environment.

AccountingBusiness DevelopmentConsultingFinanceFinancial ServicesTax Consulting

No H1B

Responsibilities

Use feedback and reflection to develop self awareness, personal strengths and address development areas

Delegate to others to provide stretch opportunities, coaching them to deliver results

Demonstrate critical thinking and the ability to bring order to unstructured problems

Use a broad range of tools and techniques to extract insights from current industry or sector trends

Review your work and that of others for quality, accuracy and relevance

Know how and when to use tools available for a given situation and can explain the reasons for this choice

Seek and embrace opportunities which give exposure to different situations, environments and perspectives

Use straightforward communication, in a structured way, when influencing and connecting with others

Able to read situations and modify behavior to build quality relationships

Uphold the firm's code of ethics and business conduct

Qualification

Cloud platform certificationData architecture experienceETL/ELT tool certificationBig data engineeringSQL proficiencyData warehousing conceptsPython programmingTeam leadershipCommunication skillsProblem-solving skills

Required

Certification in one of the following cloud platform - AWS/Azure/GCP

Certification in Snowflake

Certification in any ETL/ELT tool

Preferred

Demonstrates thorough knowledge and success as both team leader and member roles within a professional services firm or large enterprise

Understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers - AWS, Azure, GCP

Implementing cloud data architecture and data integration patterns for one or more of the cloud providers (AWS Glue, Azure Data Factory, Event Hub, Databricks,Snowflake etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform)

Understanding and thorough knowledge of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas)

Applying knowledge and relevant work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development tools (tools: IICS/AWS Glue/Matillion/Abinitio SSIS/SnapLogic); preferable in P&C/L&A Insurance data warehouse

Developing file and object-based storage solutions using Azure ADLS 2.0 or AWS S3

Applying knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos

Programming using Python/Spark

Understanding of enterprise data concepts such as Master Data Management Data Governance and Enterprise Data Warehouse

Support cross-functional teams to understand their workflow and automation needs

Design and develop scalable data warehouse solutions that meet the organization's data storage, retrieval, and analysis requirements

Understanding and familiarity of one or more is a big plus - CI/CD, cloud devops, containers (kubernetes/Docker, etc.)

Understanding of insurance data, underlying KPIs and how they are used

Demonstrating prior P&C/L&A Insurance industry experience

Demonstrates thorough abilities success with managing the identification and addressing of client needs:

Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures

Contributing as a team member by understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback

Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment